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WWW
2005
ACM
14 years 9 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
SEMWEB
2007
Springer
14 years 2 months ago
How Useful Are Natural Language Interfaces to the Semantic Web for Casual End-Users?
Natural language interfaces offer end-users a familiar and convenient option for querying ontology-based knowledge bases. Several studies have shown that they can achieve high ret...
Esther Kaufmann, Abraham Bernstein
ER
2006
Springer
112views Database» more  ER 2006»
14 years 11 days ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder
WWW
2005
ACM
14 years 9 months ago
Extracting semantic structure of web documents using content and visual information
This work aims to provide a page segmentation algorithm which uses both visual and content information to extract the semantic structure of a web page. The visual information is u...
Rupesh R. Mehta, Pabitra Mitra, Harish Karnick
SCHOLARPEDIA
2008
109views more  SCHOLARPEDIA 2008»
13 years 8 months ago
Latent semantic analysis
A new method for automatic indexing and retrieval is described. The approach is to take advantage of implicit higher-order structure in the association of terms with documents (&q...
Thomas K. Landauer, Susan T. Dumais